As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world’s largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.
Get to know us
SS&C is a global provider of investment and financial software-enabled services and software for the financial services and healthcare industries. Named to Fortune’s Fintech 50 list, SS&C is headquartered in Windsor, Connecticut, and has more than 27,000 employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world’s largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.
Our Quantitative Development team within the Fund Services business develops advanced analytical and pricing solutions supporting financial products and quantitative modelling. This internship offers a unique opportunity to work alongside experienced quantitative developers and gain hands-on exposure to real-world quantitative finance and production-grade financial systems.
Why you will love it here
- Flexibility: Hybrid Work Model
- Your Future: Professional Development Reimbursement including access to SS&C University
- Work/Life Balance: Competitive holiday scheme
- Your Wellbeing: Competitive benefits designed to support the wellbeing of our staff
- Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity
- Training: Hands-On, Team-Customised throughout your career
What you will get to do
- Extend the implementation of pricing and analytics tools for financial instruments using primarily C++ and Python, with potential exposure to Java and C#
- Support the enhancement of volatility models, benchmarking exercises, and research into advanced quantitative approaches for derivatives pricing
- Translate mathematical concepts into clear, maintainable, and high-performance production-quality code
- Perform data analysis, simulations, model validation, and basic back testing under different market scenarios
- Document technical work clearly and present findings to quantitative developers and team members
- Learn and apply best practices in software engineering, testing, and version control
- Collaborate with global teams in a distributed development environment
What you will bring
- Currently pursuing a BSc, MSc, or PhD in a quantitative discipline such as Mathematics, Physics, Engineering, Computer Science, or a related field
- Strong analytical and problem-solving skills with a rigorous and detail-oriented approach
- Programming experience in C++ and Python through academic, personal, or project work
- Understanding of high-performance programming concepts and software development principles
- Solid understanding of probability and statistics, linear algebra, stochastic calculus, differential equations, and numerical methods
- Interest in financial markets and quantitative modelling, including basic knowledge of equities, FX, rates, or derivatives
- Strong communication and collaboration skills with the ability to work effectively in a distributed team environment
Desirable skills
- Experience with scientific computing libraries in C++ and/or Python
- Familiarity with Linux environments or Windows Subsystem for Linux (WSL)
- Experience using collaborative development tools such as Git
- Exposure to quantitative finance concepts or financial analytics projects
- Knowledge of software testing and version control best practices
